Class identity assignment for amphetamines using neural networks and GC-FTIR data

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

Volumn 64, Issue 5, 2006, Pages 1110-1117

  Gosav, S ^a   Praisler, M ^a   Van Bocxlaer, J ^b   De Leenheer, A P ^b   Massart, D L ^c  

^a DUNAREA DE JOS UNIVERSITY OF GALATI   (Romania)

^b Laboratoria voor Medische Biochemie en Klinische Analyse   (Belgium)

^c VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

Amphetamines; Drugs of abuse; GC FTIR; Neural networks

Indexed keywords

ADSORPTION; COMPUTER SIMULATION; EPIDEMIOLOGY; NEURAL NETWORKS; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYZERS;

AMPHETAMINES; DRUGS OF ABUSE; GC-FTIR;

AMINES;

AMPHETAMINE DERIVATIVE; CENTRAL STIMULANT AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; GAS CHROMATOGRAPHY; INFRARED SPECTROSCOPY; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AMPHETAMINES; CENTRAL NERVOUS SYSTEM STIMULANTS; CHROMATOGRAPHY, GAS; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

EID: 33746773037     PISSN: 13861425     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.saa.2005.11.033     Document Type: Article

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